全球数位农业市场规模、份额、趋势和成长分析报告（2026-2034年）

数位农业市场预计将从 2025 年的 215.2 亿美元成长到 2034 年的 528.9 亿美元，2026 年至 2034 年的复合年增长率为 10.51%。

随着科技将传统耕作方式转变为更有效率、数据驱动的营运模式，数位农业市场正经历快速成长。全球人口不断增长，对永续粮食生产的需求日益增加，农民正转向数位化解决方案，以优化作物产量、管理资源并提升决策水准。精密农业、物联网感测器和数据分析等技术使农民能够即时监测土壤健康状况、天气状况和作物生长情况，从而做出更明智、更及时的应对。随着农业部门拥抱数位转型，对数位农业解决方案的需求预计将激增，从而推动这一关键市场的创新和投资。

此外，人工智慧（AI）和机器学习技术与数位化农业工具的融合正在革新农民的作物管理方式。这些技术能够实现预测分析，帮助农民在病虫害爆发和营养缺乏等问题影响产量之前就预见它们。此外，无人机和卫星影像的应用提高了评估作物健康状况和优化资源配置的能力，进一步促进了永续农业实践。随着农业社区日益重视效率和永续性，数位化农业市场将不断扩大，为技术提供者和农民创造新的机会。

随着数位农业市场的不断发展，关注可及性和教育变得至关重要。确保农民掌握有效运用数位工具所需的技能和知识，是最大限度发挥其效益的关键。此外，技术提供者、农业组织和教育机构之间的合作，将在促进该领域的应用和创新方面发挥至关重要的作用。数位农业市场的未来前景将以持续创新和加强合作为特征，其基础是坚定地支持农民追求可持续和高效的粮食生产。

目录

第一章：引言

第二章执行摘要

第三章 市场变数、趋势与框架

• 市场谱系展望
• 渗透率和成长前景分析
• 价值链分析
• 法律规范
  • 标准与合规性
  • 监管影响分析
• 市场动态
  • 市场驱动因素
  • 市场限制因素
  • 市场机会
  • 市场挑战
• 波特五力分析
• PESTLE分析

第四章：全球数位农业市场：按类型划分

• 市场分析、洞察与预测
• 作物监测
• 人工智慧
• 精密农业

第五章：全球数位农业市场：依公司类型划分

• 市场分析、洞察与预测
• Tier 1-55％
• Tier 2-20%
• Tier 3-25%

第六章：全球数位农业市场：预约制

• 市场分析、洞察与预测
• 高阶主管（C级）-40%
• 董事 -35%
• 其他 -25%

第七章 全球数位农业市场：按应用划分

• 市场分析、洞察与预测
• 实地测绘
• 作物调查
• 天气追踪
• 无人机分析
• 财务管理
• 农场库存管理
• 其他的

第八章：全球数位农业市场：按地区划分

• 区域分析
• 北美市场分析、洞察与预测
  • 我们
  • 加拿大
  • 墨西哥
• 欧洲市场分析、洞察与预测
  • 英国
  • 法国
  • 德国
  • 义大利
  • 俄罗斯
  • 其他欧洲国家
• 亚太市场分析、洞察与预测
  • 印度
  • 日本
  • 韩国
  • 澳洲
  • 东南亚
  • 其他亚太国家
• 拉丁美洲市场分析、洞察与预测
  • 巴西
  • 阿根廷
  • 秘鲁
  • 智利
  • 其他拉丁美洲国家
• 中东和非洲市场分析、洞察与预测
  • 沙乌地阿拉伯
  • UAE
  • 以色列
  • 南非
  • 其他中东和非洲国家

第九章 竞争情势

• 最新趋势
• 公司分类
• 供应链和销售管道合作伙伴（根据现有资讯）
• 市场占有率和市场定位分析（基于现有资讯）
• 供应商情况（基于现有资讯）
• 策略规划

第十章：公司简介

• 主要公司的市占率分析
• 公司简介
  • DTN
  • Farmers Edge Inc
  • Taranis
  • Eurofins Scientific
  • AgriWebb
  • Monsanto Company
  • Bayer AG
  • Deere & Company
  • Accenture
  • Syngenta AG
  • AgGateway
  • CropX Inc
  • Farmers Business Network
  • BASF SE
  • DigitalGlobe

The Digital Agriculture Market size is expected to reach USD 52.89 Billion in 2034 from USD 21.52 Billion (2025) growing at a CAGR of 10.51% during 2026-2034.

The digital agriculture market is experiencing rapid growth as technology transforms traditional farming practices into more efficient and data-driven operations. With the increasing global population and the need for sustainable food production, farmers are turning to digital solutions to optimize crop yields, manage resources, and enhance decision-making. Technologies such as precision agriculture, IoT sensors, and data analytics are enabling farmers to monitor soil health, weather conditions, and crop performance in real-time, leading to more informed and timely interventions. As the agricultural sector embraces digital transformation, the demand for digital agriculture solutions is expected to surge, driving innovation and investment in this vital market.

Moreover, the integration of artificial intelligence and machine learning into digital agriculture tools is revolutionizing the way farmers approach crop management. These technologies allow for predictive analytics, enabling farmers to anticipate challenges such as pest infestations or nutrient deficiencies before they impact yields. Additionally, the use of drones and satellite imagery is enhancing the ability to assess crop health and optimize resource allocation, further contributing to sustainable farming practices. As the agricultural community increasingly prioritizes efficiency and sustainability, the digital agriculture market is likely to expand, creating new opportunities for technology providers and farmers alike.

As the digital agriculture market continues to evolve, the focus on accessibility and education will be paramount. Ensuring that farmers have the necessary skills and knowledge to leverage digital tools effectively will be crucial for maximizing their benefits. Additionally, partnerships between technology providers, agricultural organizations, and educational institutions will play a vital role in driving adoption and fostering innovation in this sector. The future of the digital agriculture market is characterized by continuous innovation, enhanced collaboration, and a commitment to supporting farmers in their efforts to produce food sustainably and efficiently.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Type

• Crop Monitoring
• Artificial Intelligence
• Precision Farming

By Company Type

• Tier 1-55 %
• Tier 2-20%
• Tier 3-25%

By Designation

• C-Level Executives-40%
• Directors -35%
• Others-25%

By Applications

• Field Mapping
• Crop Scouting
• Weather Tracking
• Drone Analytics
• Financial Management
• Farm Inventory Management
• Others

COMPANIES PROFILED

• DTN, Farmers Edge Inc, Taranis, Eurofins Scientific, AgriWebb, Monsanto Company, Bayer AG, Deere Company, Accenture, Syngenta AG, AgGateway, CropX inc, Farmers Business Network, BASF SE, DigitalGlobe

We can customise the report as per your requriements

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL DIGITAL AGRICULTURE MARKET: BY TYPE 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Type
• 4.2. Crop Monitoring Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Artificial Intelligence Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Precision Farming Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL DIGITAL AGRICULTURE MARKET: BY COMPANY TYPE 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Company Type
• 5.2. Tier 1-55 % Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Tier 2-20% Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Tier 3-25% Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL DIGITAL AGRICULTURE MARKET: BY DESIGNATION 2022-2034 (USD MN)

• 6.1. Market Analysis, Insights and Forecast Designation
• 6.2. C-Level Executives-40% Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.3. Directors -35% Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 6.4. Others-25% Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 7. GLOBAL DIGITAL AGRICULTURE MARKET: BY APPLICATIONS 2022-2034 (USD MN)

• 7.1. Market Analysis, Insights and Forecast Applications
• 7.2. Field Mapping Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.3. Crop Scouting Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.4. Weather Tracking Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.5. Drone Analytics Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.6. Financial Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.7. Farm Inventory Management Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 7.8. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 8. GLOBAL DIGITAL AGRICULTURE MARKET: BY REGION 2022-2034(USD MN)

• 8.1. Regional Outlook
• 8.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.2.1 By Type
  • 8.2.2 By Company Type
  • 8.2.3 By Designation
  • 8.2.4 By Applications
  • 8.2.5 United States
  • 8.2.6 Canada
  • 8.2.7 Mexico
• 8.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.3.1 By Type
  • 8.3.2 By Company Type
  • 8.3.3 By Designation
  • 8.3.4 By Applications
  • 8.3.5 United Kingdom
  • 8.3.6 France
  • 8.3.7 Germany
  • 8.3.8 Italy
  • 8.3.9 Russia
  • 8.3.10 Rest Of Europe
• 8.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.4.1 By Type
  • 8.4.2 By Company Type
  • 8.4.3 By Designation
  • 8.4.4 By Applications
  • 8.4.5 India
  • 8.4.6 Japan
  • 8.4.7 South Korea
  • 8.4.8 Australia
  • 8.4.9 South East Asia
  • 8.4.10 Rest Of Asia Pacific
• 8.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.5.1 By Type
  • 8.5.2 By Company Type
  • 8.5.3 By Designation
  • 8.5.4 By Applications
  • 8.5.5 Brazil
  • 8.5.6 Argentina
  • 8.5.7 Peru
  • 8.5.8 Chile
  • 8.5.9 South East Asia
  • 8.5.10 Rest of Latin America
• 8.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 8.6.1 By Type
  • 8.6.2 By Company Type
  • 8.6.3 By Designation
  • 8.6.4 By Applications
  • 8.6.5 Saudi Arabia
  • 8.6.6 UAE
  • 8.6.7 Israel
  • 8.6.8 South Africa
  • 8.6.9 Rest of the Middle East And Africa

Chapter 9. COMPETITIVE LANDSCAPE

• 9.1. Recent Developments
• 9.2. Company Categorization
• 9.3. Supply Chain & Channel Partners (based on availability)
• 9.4. Market Share & Positioning Analysis (based on availability)
• 9.5. Vendor Landscape (based on availability)
• 9.6. Strategy Mapping

Chapter 10. COMPANY PROFILES OF GLOBAL DIGITAL AGRICULTURE INDUSTRY

• 10.1. Top Companies Market Share Analysis
• 10.2. Company Profiles
  • 10.2.1 DTN
  • 10.2.2 Farmers Edge Inc
  • 10.2.3 Taranis
  • 10.2.4 Eurofins Scientific
  • 10.2.5 AgriWebb
  • 10.2.6 Monsanto Company
  • 10.2.7 Bayer AG
  • 10.2.8 Deere & Company
  • 10.2.9 Accenture
  • 10.2.10 Syngenta AG
  • 10.2.11 AgGateway
  • 10.2.12 CropX Inc
  • 10.2.13 Farmers Business Network
  • 10.2.14 BASF SE
  • 10.2.15 DigitalGlobe